PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-02 10:22:19.178761+00:00 (UTC)
In US/Central Time, this is 2024-08-02 05:22:19.178761-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/13b850a5a8bf806fe5dc2f99a601fc3376784d1991cf5c4dfdeb677ff11ffab6.png
We are just generating a random time serie here.
../_images/4ec740f82a60773c1d0e3764c87ac2e0b02ccf709ae51d50f9bdbca7ed6b18d8.png
../_images/e8fda6f3c77fbbd3b82b9e585566b557849f640a9c9a368c07766cd5258fd7f5.png